Microbiotyping the Sinonasal Microbiome

This study offers a novel description of the sinonasal microbiome, through an unsupervised machine learning approach combining dimensionality reduction and clustering. We apply our method to the International Sinonasal Microbiome Study (ISMS) dataset of 410 sinus swab samples. We propose three main...

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Detalles Bibliográficos
Autores principales: Bassiouni, Ahmed, Paramasivan, Sathish, Shiffer, Arron, Dillon, Matthew R., Cope, Emily K., Cooksley, Clare, Ramezanpour, Mahnaz, Moraitis, Sophia, Ali, Mohammad Javed, Bleier, Benjamin S., Callejas, Claudio, Cornet, Marjolein E., Douglas, Richard G., Dutra, Daniel, Georgalas, Christos, Harvey, Richard J., Hwang, Peter H., Luong, Amber U., Schlosser, Rodney J., Tantilipikorn, Pongsakorn, Tewfik, Marc A., Vreugde, Sarah, Wormald, Peter-John, Caporaso, J. Gregory, Psaltis, Alkis J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Cellular and Infection Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156599/
https://www.ncbi.nlm.nih.gov/pubmed/32322561
http://dx.doi.org/10.3389/fcimb.2020.00137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156599/
https://www.ncbi.nlm.nih.gov/pubmed/32322561
http://dx.doi.org/10.3389/fcimb.2020.00137

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